From enrollment to a Springer paper and an international conference talk in 2 months
Ashwajit developed the Replay-Gated Cascade Consolidation model, a 1,000-neuron Izhikevich spiking network with spike-timing-dependent plasticity and Fusi-type slow cascade weights. He stated three predictions in advance and confirmed all three across more than 700 simulation runs, scaling up to 5,000 neurons. Removing replay dropped retention from 0.286 to 0.037, and the harmonic-series prediction fit with an R squared of 0.828. He presented the work himself at BICA 2026 in Merida, Mexico, a 15-minute talk followed by 5 minutes of questions from the room. YRI then helped him take the next step: entering the 2026 Breakthrough Junior Challenge, where he made a short film explaining the Kakeya conjecture, a famous problem about how little space a shape needs to point in every direction. His second paper, on CT-derived texture features that stratify survival in Stage III non-small cell lung cancer, was accepted for a poster presentation at SPIE Medical Imaging 2027 in Vancouver.
Early-stage research experience with independent projects in biomedical AI and wetware computing, but no peer-reviewed publications.
First-author Springer publication on computational neuroscience, and a 15-minute talk delivered at an international conference in Mexico, two months from enrollment.